Single-agent systems perform tasks independently, making them simpler and easier to manage, while multi-agent systems involve multiple AI agents collaborating or competing to solve complex problems. Multi-agent setups enable scalability, specialisation, and adaptability in dynamic environments, though they require advanced coordination.